DocumentCode :
1806913
Title :
FPGA Interconnect Architecture Exploration Based on a Statistical Model
Author :
Wang, Zhen ; Xie, Ding ; Lai, Jinmei
Author_Institution :
ASIC & Syst. State Key Lab., Fudan Univ., Shanghai, China
fYear :
2011
fDate :
5-7 Sept. 2011
Firstpage :
447
Lastpage :
452
Abstract :
This paper presents a novel statistical model to help exploring the FPGA interconnect architecture design space efficiently. A series of parameters featuring the GRM-based (General Routing Matrix) interconnect architecture are defined. By analyzing these parameters such as routing segments type, channel width and drive relation, our model is able to calculate the average hops indicator which is approved in experiments to be a good estimation of the timing performance of architectures. With our model, we evaluate hundreds of architectures and figure out the formula expressing the possible trade-offs between performance and area. We select several representatives and conclude that routing segment is still a powerful tool in design trade-offs.
Keywords :
field programmable gate arrays; logic design; matrix algebra; network routing; statistical analysis; timing; FPGA interconnect architecture design; channel width analysis; drive relation analysis; general routing matrix interconnect architecture; routing segments type analysis; statistical model; timing performance estimation; Benchmark testing; Field programmable gate arrays; Integrated circuit interconnections; Integrated circuit modeling; Routing; Solid modeling; Wires; FPGA; hops; interconnect; model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Field Programmable Logic and Applications (FPL), 2011 International Conference on
Conference_Location :
Chania
Print_ISBN :
978-1-4577-1484-9
Electronic_ISBN :
978-0-7695-4529-5
Type :
conf
DOI :
10.1109/FPL.2011.88
Filename :
6044861
Link To Document :
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